Data Processing-Presentation
14
description
A presentation given by Atul Vishwakarma, Associate Lead, Leadcap Ventures.
Transcript of Data Processing-Presentation
- 1.
- 2. Atul Vishwakarma Data Processing?
- 3. Data & Data Set: The information that you collect from an experiment, survey, or archival source is referred to as your data. Most generally, data can be defined as a list of numbers possessing meaningful relations. A data set is a representation of data, defining a set of variables" that are measured on a set of cases." Variable: A variable is any characteristic of an object that can be represented as a number. The values that the variable takes will vary when measurements are made on different objects or at different times. Case: Recorded information about an object we observe a case.
- 4. Every row is a single case Every column is a variable
- 5. Data Processing: Data processingmost often refers to processes that convert data into information or knowledge. Information: Information is defined as either a meaningful answer to a query or a meaningful stimulus that can consider into further queries.
- 6.
- Steps of Data Processing:
- Objective
- Questionnaire
- Field Survey
- Data Entry
- Data Processing
- Informations in tables and chart formats
- 7.
- Elements of Data Processing:
- Data Coding
- Data Editing/Cleaning
- Data Validation
- Data Classification
- Attributes
- Class-Intervals
- Data Tabulation
- Statistical Analysis
- Computer graphics
- Data Warehousing
- Data Mining
- 8.
- Tabulation:
- Tables must be clear and easy to read
- Must have a title which describes the data in the table.
- Columns and rows should be clearly headed.
- Units should be displayed in column / row headings only.
- Missing values should be displayed as -, and zeros as 0. They should be no blanks in a table conveying experimental results.
- Numbers should be listed neatly below each other and should be to the same number of decimal places.
- Table should be made logical, clear, accurate and simple as possible.
- 9. SOME PROBLEMS IN PROCESSING: a) The Problem Concerning Dont Know or DK/NA responses. b) Use of Percentages %
- 10. Softwares: SPSS SAS Quantum Quanvert Stata Strata Systat Euler Matlab Minitab
- 11. Data Processing using Quantum, SPSS etc..
- 12. Data File Formats: SPSS: *.sav Excel: *xls ASCII: *.asc, *.dat Programming in Quantum: Exporting data in ASCII format. Programming according to questionnaire (Drafting Set File) Outputs in *.csv formats
- 13. A single variable. Cross Checking
- 14. Atul Vishwakarma Leadcap Ventures [email_address]